| Start date: | 13 July 2026, 09:00 (CEST) | Entry level: | Basic | |
| End date: | 13 July 2026, 13:00 (CEST) | Subject area: | Computational Fluid Dynamics (CFD) | |
| Location: | ONLINE (Zoom) | Topics: | OpenFOAM | |
| Language: | English | Target audience: | Industry, public admin, academia | |
| Price: | Free (for eligible participants) | Organizers: | ASC & EuroCC Austria |
Explore how to perform scalable CFD simulations with OpenFOAM on HPC systems. Set up meshes, run parallel fluid dynamics simulations, and analyze complex flow behavior. Understand turbulence models, solver performance, and distributed computing workflows and gain practical experience in running efficient CFD pipelines on modern multi-node clusters.
Computational Fluid Dynamics (CFD) enables the simulation of fluid flow, heat transfer, and transport phenomena in complex systems. This course introduces efficient and scalable CFD workflows using OpenFOAM on multi-node HPC clusters.
Participants will learn how to set up simulation cases, generate and refine meshes, define boundary conditions, and run steady-state and transient fluid dynamics simulations. The course covers core CFD concepts including incompressible flow, turbulence modelling, and numerical discretization methods.
Building on these foundations, participants will perform parallel simulations in OpenFOAM, exploring domain decomposition, solver configuration, and scaling behavior on distributed CPU systems. Practical exercises demonstrate how mesh size, solver choice, and communication overhead affect runtime and performance.
The course also introduces post-processing and visualization workflows using ParaView, allowing participants to analyze velocity fields, pressure distributions, vortices, and flow stability.
By the end of the course, participants will be able to build and execute complete CFD workflows — from mesh generation and solver setup to parallel execution and visualization — and efficiently run fluid dynamics simulations on modern HPC systems.
Agenda & Content
For a detailed timetable and additional information, please see Agenda & Content in the left menu.
Target audience, eligibility & prices
Everyone is welcome who wants to learn how to do computational fluid dynamics with OpenFOAM at scale on HPC systems, including students, researchers, and professionals from academia and industry.
This course is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
Beginner – no prior experience with OpenFOAM or HPC is necessary.
Basic knowledge of computational fluid dynamics is required.
Participants should be comfortable working with the UNIX/LINUX command line.
Course format
This course will be delivered as a LIVE ONLINE COURSE (using Zoom).
Hands-on labs
All participants will get a temporary user account on one of the ASC systems to do the hands-on labs.
You will use your own laptop or workstation to connect conveniently from your browser to the ASC Jupyterhub and do the hands-on exercises on a suitable CPU or GPU partition of the ASC.
Accepted participants will be contacted a few days before the course and asked to do a short pre-assignment that has to be completed before the course starts.
Lecturer
Thomas Haschka (Campus IT / HPC, TU Wien)
Dr. Thomas Haschka is an Austrian biophysicist and computational scientist specializing in molecular biophysics, high-performance computing, machine learning and Artificial Intelligence. He currently works as an AI Specialist in the dataLAB of the High-Performance Computing Unit at Campus IT, TU Wien, supporting advanced research infrastructure and data-driven innovation. With a PhD from Université de Reims Champagne-Ardenne (highest distinction), he has held research positions at institutions such as the Pasteur Institute, Paris Brain Institute, and the American University of Beirut. His work spans molecular dynamics, epidemiological modeling, genomics, and AI evaluation methods, supported by strong expertise in GPU programming and cloud technologies. He combines academic research excellence with real-world industrial consulting experience.
Language
English
Date, time, and location
13.07.2026, 09:00 – 13:00 (CEST), LIVE ONLINE COURSE (Zoom)
Registration
Registration is required, the registration form can be found on top of this page in the menu on the left.
Please register with your official institutional email address to prove your affiliation.
You will get an automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.
Following your successful registration, you will receive further information a few days before the course.
Please do not hesitate to contact us at training@asc.ac.at if you have any questions.
Waitinglist
After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email (training@asc.ac.at) stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).
To be able to do the hands-on labs on the ASC systems please provide your full international mobile-phone number for the two-factor authentication required to login to the ASC systems.
Modification, withdrawal & no-show policy
Your registration is binding. Please only register for the course if you are really going to attend.
You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@asc.ac.at).
No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.
Organizers
This course is jointly organized by Austrian Scientific Computing ASC (aka ASC Research Center, TU Wien) and EuroCC Austria.
Acknowledgements
This course is partially funded by the EuroCC 2 project.
The project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, and Türkiye.
Additional funding for the project comes from the Austrian federal ministries BMBWF and BMK.
